The IoT has diverse application domains, including health and medical care. Use of IoT in healthcare is growing at a dangerously fast pace, and market research shows that the global IoT healthcare market could reach US $534.3 billion by 2025. Most of these applications, including remote and real-time patient monitoring, will generate heterogeneous, streaming, and/or big data. However, analyzing and extracting useful information from this data is a challenging task for medical and healthcare professionals. In this context, machine learning (ML) and deep learning (DL) models can address the challenge by automated analysis, classification of various data, and detection of anomalies within data. The healthcare industry is extensively using ML and DL for various applications. Hence, the use of ML/DL models in IoT healthcare applications is a necessity...
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